Bring revenue and usage.
Start with a customer-level billing CSV and an AI usage export. We align the periods, identify missing attribution, and show where costs are actual versus estimated.
Your AI bill shows what you spend. RevMast connects those costs to what each customer pays, revealing where your economics bend—and which pricing moves are worth testing.
Built for teams asking harder questions than “How much did our AI bill cost?”
Three steps. One financial view. No need to put a new proxy between your product and its AI providers.
Start with a customer-level billing CSV and an AI usage export. We align the periods, identify missing attribution, and show where costs are actual versus estimated.
Understand contribution margin by customer, plan and workflow. Flag loss-making accounts and test whether heavy-user concentration is undermining your packaging.
Model credit caps, overages and usage response against the same historical period—then export a founder-ready report with assumptions and decision checkpoints.
Clear financial outputs over dashboards filled with meaningless graphs.
Move from portfolio-wide gross margin to the exact customer or plan with the problem.
Compare today's subscription model with metered pricing or credit limits. Separate hard-cap and overage outcomes.
Know when you are looking at billed costs, fallback rates or an unverified period. Confidence is part of the product.
Deliver clear financial findings, top accounts to investigate and a scenario-specific PDF or data export.
A sample 75-customer SaaS dataset shows how one scenario can change measured economics. These figures are synthetic, not a client case study.
70% of existing credit cap · current overage rate · 20% modeled reduction in above-cap usage
Not a forecast. This scenario omits churn, customer acceptance, collection risk and true demand elasticity; all AI costs here are rate-card estimates.
Spend observability tells you what you spent. We focus on what your pricing can sustainably support.
Test commercial decisions without changing your production API request path.
Include AI, API, infrastructure and customer-variable costs when supplied—not just inference.
Transparent assumptions, customer-level economics and exportable audits your finance and product leaders can discuss.
We start with scoped, founder-supported evaluations so the findings are verified before you act.
Our founding-client assessment starts with a 20-minute scoping conversation. If there's a fit, we define the data, success criteria, handling terms and an audit deliverable before receiving customer files.
No. RevMast's current workflow uses billing and usage exports. We don't proxy AI requests or enforce real-time budgets.
No. RevMast is a management unit-economics and scenario-analysis tool. Its MRR input is a snapshot proxy, not a revenue-recognition ledger or GAAP financial statement.
With customer-aligned revenue and variable-cost records, we can calculate attributed gross margin by account and plan, highlight heavy usage and simulate proposed allowances. We label estimated costs and disclose model assumptions.
Not yet. The public website is informational. The current analysis workspace is a locally operated validation build and isn't approved as a public multi-tenant service. We agree secure data-handling arrangements before any real customer pilot.
No. Historical replay does not predict churn, willingness to pay, or collectibility. Simulations support a decision, rather than replacing a pricing experiment.
We scope the initial assessment and agree pilot deliverables and pricing in writing first. There's no automatic subscription or undisclosed charge.
Walk through your AI product, the customer segments you serve and the margin questions you need answered. We'll decide together whether a guided X-Ray is useful.
Meeting availability will appear here once a booking link is configured.